---
title: Chonkie Labs
description: Context as a Service, powered by Chonkie
icon: "flask"
iconType: "solid"
sidebarTitle: Labs API
---

<div align="center">
  <img
    src="/assets/logo/chonkie_scientist.png"
    alt="Chonkie as a Scientist"
    height={200}
    width={200}
    noZoom
  />
  _✨Dr. Chonkie is here to help you with your context needs✨_
</div>

<br />

**Chonkie Labs** is _Context as a Service_, built on Chonkie OSS.
Upload your documents and get instant access to semantic search, AI chat, deep research, and MCP deployments.

No OCR to configure, embeddings to manage, vector DBs to maintain, or chunking to debug.

Just context, served fresh.

## Key Features

<CardGroup cols={2}>
  <Card title="Knowledge Bases" icon="database">
    Upload and organize documents into knowledge bases with automatic chunking,
    embedding, and indexing. Supports PDFs, Word docs, markdown, text files, and
    more.
  </Card>
  <Card title="Semantic Search" icon="magnifying-glass">
    Perform accurate semantic search across your documents with three modes:
    Fast for quick queries, Balanced for the best mix of speed and relevance,
    and Deep for comprehensive analysis.
  </Card>
  <Card title="Document Chat" icon="messages">
    Chat with your data through our web UI or OpenAI-compatible APIs. Chonkie
    automatically retrieves context from your knowledge bases for accurate,
    grounded responses.
  </Card>
  <Card title="Research Agents" icon="user-robot">
    Build research agents in natural language. Chonkie pulls context from your
    knowledge bases automatically. Generate detailed reports with citations in
    minutes.
  </Card>
  <Card title="MCP Integration" icon="plug">
    Expose your knowledge bases as Model Context Protocol (MCP) servers. Connect
    them to Cursor, Claude, and other MCP-compatible tools for seamless AI
    integration.
  </Card>
  <Card title="API Native" icon="code">
    Everything in Labs is accessible via RESTful APIs and OpenAI-compatible
    endpoints. From chunking a single document to building a full agent.
  </Card>
</CardGroup>

## Why Use Chonkie Labs?

Building a production-ready retrieval system from scratch means dealing with:

- **Infrastructure complexity**: OCR, vector databases, embeddings services, storage buckets, API servers
- **Chunking challenges**: Choosing the right strategy, optimizing chunk sizes, handling edge cases
- **Integration headaches**: Connecting embeddings, rerankers, LLMs, and vector stores
- **Maintenance burden**: Monitoring, scaling, updating dependencies, handling failures

Chonkie Labs eliminates all of this. You get:

<CardGroup cols={2}>
  <Card title="Instant Setup" icon="rocket">
    Create a knowledge base and start searching in minutes, not weeks. No
    infrastructure to provision or configure.
  </Card>
  <Card title="Battle-Tested Chunking" icon="check">
    Powered by Chonkie's proven chunking algorithms, refined through thousands
    of real-world use cases.
  </Card>
  <Card title="Managed Infrastructure" icon="server">
    We handle OCR, vector databases, storage, embeddings, and API hosting. You
    focus on your application.
  </Card>
  <Card title="API-First Design" icon="brackets-curly">
    RESTful APIs and OpenAI-compatible endpoints make integration painless.
    Works with your existing tools.
  </Card>
</CardGroup>

## Use Cases

<AccordionGroup>
  <Accordion title="Document Q&A" icon="comments-question">
    Build intelligent document search and question-answering systems. Perfect
    for customer support, internal wikis, and research databases.
  </Accordion>
  <Accordion title="AI Assistants" icon="user-robot">
    Deploy domain-specific AI assistants that pull context from your
    documentation. Create expert agents for sales, support, or engineering.
  </Accordion>
  <Accordion title="Research Tools" icon="flask-vial">
    Power research applications with deep semantic search. Surface relevant
    information from large document collections instantly.
  </Accordion>
  <Accordion title="Contextual AI Coding" icon="code">
    Connect your knowledge bases to IDEs via MCP. Give developers instant access
    to documentation and internal resources.
  </Accordion>
</AccordionGroup>

## Next Steps

Ready to start building with Labs?

<CardGroup cols={2}>
  <Card title="API Documentation" icon="book" href="/api/knowledge/create">
    Explore the complete API reference to see what's possible with Labs
  </Card>
  <Card title="Book a Demo" icon="calendar" href="https://cal.com/shreyashn">
    Interested in trying labs? Schedule a demo to start a free trial
  </Card>
</CardGroup>
